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Understanding Deep Learning - Simon J.D. Prince
Repository contains LinkedIn posts about Generative AI knowledge sharing, learning resources and research explanations.
Free hands-on course about Graph Neural Networks using PyTorch Geometric.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Hands-On Graph Neural Networks Using Python, published by Packt
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
Scalable and user friendly neural 🧠 forecasting algorithms.
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
pyspark methods to enhance developer productivity 📣 👯 🎉
Code repository for O'Reilly book
Capstone project for Udacity's Machine Learning Engineer nanodegree
Answers to 120 commonly asked data science interview questions.
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
Data science interview questions and answers
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.
Build and train state-of-the-art natural language processing models using BERT
This is repository of my YouTube Course on End to End Apache Spark in AIEngineering YouTube Channel
PipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and more
This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"
A curated list of awesome Machine Learning frameworks, libraries and software.
This repository contains code I wrote for all the competitions that I participated in
This is a curated list of all my posts on LinkedIn regarding Data Science, which I publish daily.